Abstract
One of the main ideas of wave mixing is based on the feasibility to organize the complex quasi-one-directed flotations of liquid medium due to its interaction with solid bodies (the mixture working organs) which are dipped into mixing medium and are making oscillations relatively to it. In other words, it is possible to organize the transfer of the mixing staff throughout the whole volume due to oscillatory impact alone. Whereby this method of flotation organization permits to realize complex differently directed flotations (up to opposite flotations) in one volume with relatively substantial shift of liquid medium, absence of dead zones, and diffusion of transverse waves in the volume. This mode of medium motion permits to secure the intensive mixing in combination with wave impact which in its turn permits to get qualitatively new results related to the conversion of physical and rheological properties of mixing medium. In this paper, the experiment concerning the possibility to implement a control system for the resonant mode of a wave mixer with the application of neural network technology based on electrodynamic excitation is set up. A feasibility study for application of this technology as a control system for operating modes of the mixing unit with the aim to increase the mixing quality is conducted.
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Ganiev, R.F., Panin, S.S., Dovbnenko, M.S., Bryzgalov, E.A. (2020). Application of Neural Networks for Controlling the Vibrational System Based on Electric Dynamic Drive. In: Hu, Z., Petoukhov, S., He, M. (eds) Advances in Artificial Systems for Medicine and Education II. AIMEE2018 2018. Advances in Intelligent Systems and Computing, vol 902. Springer, Cham. https://doi.org/10.1007/978-3-030-12082-5_38
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DOI: https://doi.org/10.1007/978-3-030-12082-5_38
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